Evidence map›Paper›PMID 27872807›Full record

ArticleNeuroImage. Clinical2016

Identification of the stria medullaris thalami using diffusion tensor imaging.

Ryan B Kochanski, Robert Dawe, Daniel B Eddelman, Mehmet Kocak, Sepehr Sani

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ryan B KochanskiDepartment of Neurosurgery, Rush University Medical Center, 1725 W. Harrison St, Suite 855, Chicago, IL 60612, United States.
Robert DaweRush Alzheimer's Disease Center, 600 S Paulina St, Chicago, IL 60612, United States; Johnston R Bowman Health Center, 600 S Paulina St, Chicago, IL 60612, United States.
Daniel B EddelmanDepartment of Neurosurgery, Rush University Medical Center, 1725 W. Harrison St, Suite 855, Chicago, IL 60612, United States.
Mehmet KocakDepartment of Radiology, Rush University Medical Center, 1725 W. Harrison St, Suite 437, Chicago, IL 60612, United States.
Sepehr SaniDepartment of Neurosurgery, Rush University Medical Center, 1725 W. Harrison St, Suite 855, Chicago, IL 60612, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeep brain stimulation (DBS) via anatomical targeting of white matter tracts defined by diffusion tensor imaging (DTI) may be a useful tool in the treatment of pathologic neurophysiologic circuits implicated in certain disease states like treatment resistant depression (TRD). We sought to determine if DTI could be used to define the stria medullaris thalami (SM), the major afferent white matter pathway to the lateral habenula (LHb), a thalamic nucleus implicated in the pathophysiology of TRD.

methodsProbabilistic DTI was performed on ten cerebral hemispheres in five patients who underwent preoperative MRI for DBS surgery. Manual identification of the LHb on axial T1 weighted MRI was used for the initial seed region for tractography. Variations in tractography depending on chosen axial slice of the LHb and chosen voxel within the LHb were also assessed.

resultsIn all hemispheres the SM was reliably visualized. Variations in chosen axial seed slice as well as variations in single seed placement did not lead to significant changes in SM tractography.

conclusionsProbabilistic DTI can be used to visualize the SM which may ultimately provide utility for direct anatomic targeting in DBS surgery.

Indexed as

Afferent PathwaysDeep Brain StimulationDiffusion Tensor ImagingEpithalamusHabenulaHumansParkinson DiseaseThalamusDeep brain stimulation (DBS)DepressionDiffusion tensor imaging (DTI)Stria medullaris (SM)

Identifiers

PMID27872807
PMCPMC5109849

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.